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Related Concept Videos

Cluster Sampling Method01:20

Cluster Sampling Method

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Isolated atoms have discrete energy levels that are well described by the Bohr model. And, it quantifies the energy of an electron in a hydrogen atom as En. Higher quantum numbers 'n' yield less negative, closer electron energy levels.
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Related Experiment Video

Updated: Jul 24, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Published on: September 8, 2023

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Non-Uniform Clustering Algorithm for UWSNs Based on Energy Equalization.

Jinwang Yi1, Jie Tang1, Fei Yuan2

  • 1Fujian Key Laboratory of Communication Network and Information Processing, Xiamen University of Technology, Xiamen 361024, China.

Sensors (Basel, Switzerland)
|July 8, 2023
PubMed
Summary

This study introduces a non-uniform clustering algorithm to balance energy consumption in underwater sensor networks. The method enhances network lifetime and coverage by optimizing cluster head selection and size.

Keywords:
energy equalizationnon-uniform clusterunderwater sensor networks

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Marine Technology

Background:

  • Underwater sensor networks (UWSNs) face challenges with random node deployment and environmental currents, leading to uneven distribution and energy consumption.
  • The
  • hot zone
  • problem exacerbates energy depletion in specific network areas, reducing overall efficiency and lifespan.

Purpose of the Study:

  • To address uneven energy consumption and prolong the network lifetime in UWSNs.
  • To improve network coverage maintenance through intelligent clustering.

Main Methods:

  • A non-uniform clustering algorithm for energy equalization is proposed.
  • Cluster heads are selected based on residual energy, node density, and coverage redundancy.
  • Cluster sizes are dynamically adjusted to equalize energy consumption during multi-hop routing, considering node mobility and residual energy.

Main Results:

  • The proposed algorithm effectively prolongs UWSN lifetime.
  • It significantly balances energy consumption across the network.
  • Improved network coverage maintenance compared to existing algorithms was demonstrated.

Conclusions:

  • The non-uniform clustering algorithm offers a viable solution for energy equalization in UWSNs.
  • It enhances network longevity and operational efficiency.
  • The algorithm provides superior coverage maintenance, crucial for persistent underwater monitoring.